yrnigam
Data Science | Machine Learning | Deep Learning | Computer Vision | Business Intelligence | Business Analytics
KPMG IndiaGurugram
Pinned Repositories
Amazon-Review-for-Sentiment-Analysis-ML
Sentiment analysis uses a process to computationally determine whether a piece of writing is positive, negative, neutral, or mixed. Amazon Comprehend is a natural language processing (NLP) text analytics service made up of a handful of APIs that allows you to detect sentiment (along with key phrases, named entities, and language) and perform topic modeling from a collection of documents. In Lexicon-based sentiment analysis we count number of positive and negative words in given text and the larger count will be the sentiment of text.
API-for-Data-Analytics
Using flask API we can request analytical results from app, with JSON request and responds with data according to the conditions in the request deployed over cloud
conda-buildpack
Buildpack for Conda.
Crop_Sowing_Prediction
In this project we will use machine learning model to predict the type of crop farmer should sow on the basis of factors like season,pH value,temperature,humidity,rainfall,yield,water using KNN Algorithm
Documents_Summarize_using-RAG_LangChain-and-LLMs
Summarize private documents using RAG, LangChain, and LLMs
MachineLearningModelAPI
This is how you can create your machine learning model API and use your work on different platforms like Android,Web App etc
Named-Entity-Recognition-NER-using-LSTMs
Named Entity Recognition (NER) using LSTMs with Keras
Smart_Email_Generator
Generate email messages using CSV files.
Zomato-restaurants-analysis-rating-predictor
In his project we will Analyze Zomato restaurants in Bangalore & Predict the restaueant ratings using Machine Learning
yrnigam's Repositories
yrnigam/Named-Entity-Recognition-NER-using-LSTMs
Named Entity Recognition (NER) using LSTMs with Keras
yrnigam/Crop_Sowing_Prediction
In this project we will use machine learning model to predict the type of crop farmer should sow on the basis of factors like season,pH value,temperature,humidity,rainfall,yield,water using KNN Algorithm
yrnigam/MachineLearningModelAPI
This is how you can create your machine learning model API and use your work on different platforms like Android,Web App etc
yrnigam/Amazon-Review-for-Sentiment-Analysis-ML
Sentiment analysis uses a process to computationally determine whether a piece of writing is positive, negative, neutral, or mixed. Amazon Comprehend is a natural language processing (NLP) text analytics service made up of a handful of APIs that allows you to detect sentiment (along with key phrases, named entities, and language) and perform topic modeling from a collection of documents. In Lexicon-based sentiment analysis we count number of positive and negative words in given text and the larger count will be the sentiment of text.
yrnigam/API-for-Data-Analytics
Using flask API we can request analytical results from app, with JSON request and responds with data according to the conditions in the request deployed over cloud
yrnigam/Documents_Summarize_using-RAG_LangChain-and-LLMs
Summarize private documents using RAG, LangChain, and LLMs
yrnigam/Smart_Email_Generator
Generate email messages using CSV files.
yrnigam/Zomato-restaurants-analysis-rating-predictor
In his project we will Analyze Zomato restaurants in Bangalore & Predict the restaueant ratings using Machine Learning
yrnigam/conda-buildpack
Buildpack for Conda.
yrnigam/stock-price-prediction-ML
Predicting stock prices using Machine Learning
yrnigam/Credit-Risk-Loan-Eligibility-Kaggle
For more info about the project:
yrnigam/Data-Science--Cheat-Sheet
Cheat Sheets
yrnigam/data-science-portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
yrnigam/dataviz-course
Repository containing Jupyter Notebooks used during the hand-ons session.
yrnigam/Face-Detection
Face detection using OpenCV library
yrnigam/Gold-Price-Prediction-Using-ARIMA-in-R
In this project, we will forecast the indian gold prices using ARIMA model in R programming. Data consist of prices from year 1960 to 2018.
yrnigam/Image-Denoising-using-AutoEncoders
Denoising images by training an image denoising autoencoder using Keras with Tensorflow 2.0 as a backend. Useful in dealing with blur and old images.
yrnigam/Indian_School_UDISE_Data_Analysis
In this project we are analysing the Indian school data district wise and we will the try to find causes of different problem faced by students.
yrnigam/interview-question-data-science
yrnigam/Ontology-creation-on-unstructured-data-using-NLP
This project helps in automatically build the Ontology for the text data and generate RDF-triples.
yrnigam/Pyspark
Tutorials and Practice
yrnigam/Roadmap-To-Learn-Generative-AI-In-2024
Learning
yrnigam/Simple-ATS-Latex-Resume
"Simple-ATS-Latex-Resume" is a LaTeX template for creating clean, professional resumes. It's optimized for Applicant Tracking Systems (ATS) with sections for contact info, summary, skills, experience, education, and projects. Perfect for job seekers aiming for an effective, visually appealing resume. Use overleaf.com to modify.
yrnigam/Tensorflow_2.0
Here I am uploading tutorials for Tensorflow 2.0 created by me refering Official Documentation
yrnigam/Thug-Life-opencv
Detecting face face and applying thug life mask.
yrnigam/UCI_Credit_Card_Default
This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005.
yrnigam/VideoStreamingFlask
Streaming video with the help of Flask and Opencv
yrnigam/yrnigam.github.io
This is just my testing area ,check my portfolio here--> yashrajnigam.tech